Nevertheless, beneath the hype of big data there is a real revolution in progress, and more than anything else it revolves around Apache Hadoop. Let’s look at why Hadoop is creating such a stir in ...

Hadoop makes all the big data noise. Too bad it’s not also getting the big data deployments. Indeed, though Hadoop has often served as shorthand for big data, this increasingly seems like a mistake.

Hadoop’s MapReduce provided folks with a big step in capability. It’s hard to overstate exactly how critical this commodification of big data has been for the world.

However, to take maximum advantage of big data, IT is going to have to press the re-start button on its architecture for acquiring and understanding information.

So, in the big data space, a converged architecture will in effect productize Hadoop by using the raw open source components, adding what’s missing, and then productizing the integration to ...

Hadoop is everywhere, but a strong competitor is making headway in the market. It's all thanks to years of production use and a solid big data pedigree that powers the billion-dollar LexisNexis ...

Data can begin in Kafka and then go through Storm, which is a stream processor, then select whether the data moves toward Hadoop or the Couchbase Server. For example; the raw data may go to Hadoop ...

That approach is changing with the emergence of new big data analytics engines, such as Apache Hadoop, LexisNexis’ HPCC Systems and 1010data’s cloud-based analytics service.

Hortonworks has a new vision that not only leverages data at rest in Hadoop, data streaming in Spark and data in motion in Apache NiFi, but also data at the tipping point where data itself sets ...

Hitachi Data Systems (HDS) has a reference architecture for Hadoop based on the Cloudera Hadoop distribution. This uses HDS CR220S server product with integrated 3TB SATA drives, but doesn't use ...